Examples of endLoad()

Examples of org.encog.ml.data.buffer.BufferedMLDataSet.endLoad()

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        }
      }

      if (buffer != null) {
        try {
          buffer.endLoad();
        } catch (final Exception ex) {
          EncogLogging.log(ex);
        }
      }
    }
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Examples of org.encog.ml.data.buffer.BufferedMLDataSet.endLoad()

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    final BufferedMLDataSet buffer = new BufferedMLDataSet(binFile);
    buffer.beginLoad(inputCount, outputCount);
    for (final MLDataPair pair : csv) {
      buffer.add(pair);
    }
    buffer.endLoad();
  }
   
    /**
     * Load CSV to memory.
     * @param filename The CSV file to load.
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Examples of org.encog.ml.data.buffer.BufferedMLDataSet.endLoad()

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        buffer.beginLoad(inputCount, outputCount);
        for(MLDataPair pair : csv)
        {
            buffer.add(pair);
        }
        buffer.endLoad();
    }
   
    public static void convertCSV2Binary(File csvFile, CSVFormat format,
            File binFile, int[] input, int[] ideal,
            boolean headers)
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Examples of org.encog.ml.data.buffer.BufferedMLDataSet.endLoad()

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         // add to dataset
        
           buffer.add(inputData,idealData);
       }
       buffer.endLoad();
   }

  public static double calculateRegressionError(MLRegression method,
      MLDataSet data) {
   
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Examples of org.encog.ml.data.buffer.BufferedMLDataSet.endLoad()

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    for(int i=0;i<XOR.XOR_INPUT.length;i++) {
      buffer.add(new BasicMLDataPair(
          new BasicMLData(XOR.XOR_INPUT[i]),
          new BasicMLData(XOR.XOR_IDEAL[i])));
    }
    buffer.endLoad();
   
    NEATPopulation pop = new NEATPopulation(2,1,1000);
    pop.setInitialConnectionDensity(1.0);// not required, but speeds training
    pop.reset();
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Examples of org.encog.ml.data.buffer.BufferedMLDataSet.endLoad()

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    for(int i=0;i<XOR.XOR_INPUT.length;i++) {
      BasicMLData input = new BasicMLData(XOR.XOR_INPUT[i]);
      BasicMLData ideal = new BasicMLData(XOR.XOR_IDEAL[i]);
      set.add(input,ideal);
    }
    set.endLoad();
   
    XOR.testXORDataSet(set);
   
  } 
}
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Examples of org.encog.ml.data.buffer.BufferedNeuralDataSet.endLoad()

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    final BufferedNeuralDataSet buffer = new BufferedNeuralDataSet(binFile);
    buffer.beginLoad(inputCount, outputCount);
    for (final MLDataPair pair : csv) {
      buffer.add(pair);
    }
    buffer.endLoad();
  }
   
    /**
     * Load CSV to memory.
     * @param filename The CSV file to load.
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Examples of org.encog.ml.data.buffer.BufferedNeuralDataSet.endLoad()

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        buffer.beginLoad(inputCount, outputCount);
        for(MLDataPair pair : csv)
        {
            buffer.add(pair);
        }
        buffer.endLoad();
    }
   
    public static void convertCSV2Binary(File csvFile, CSVFormat format,
            File binFile, int[] input, int[] ideal,
            boolean headers)
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Examples of org.encog.ml.data.buffer.BufferedNeuralDataSet.endLoad()

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         // add to dataset
        
           buffer.add(inputData,idealData);
       }
       buffer.endLoad();
   }

  public static double calculateRegressionError(MLRegression method,
      MLDataSet data) {
   
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Examples of org.encog.ml.data.buffer.BufferedNeuralDataSet.endLoad()

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    for(int i=0;i<XOR.XOR_INPUT.length;i++) {
      BasicMLData input = new BasicMLData(XOR.XOR_INPUT[i]);
      BasicMLData ideal = new BasicMLData(XOR.XOR_IDEAL[i]);
      set.add(input,ideal);
    }
    set.endLoad();
   
    XOR.testXORDataSet(set);
   
  } 
}
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